An open agent architecture for assisting elder independence
Proceedings of the first international joint conference on Autonomous agents and multiagent systems: part 2
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Proceedings of the Fourteenth International Florida Artificial Intelligence Research Society Conference
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Like an intuitive and courteous butler: a proactive personal agent for task management
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USAB '09 Proceedings of the 5th Symposium of the Workgroup Human-Computer Interaction and Usability Engineering of the Austrian Computer Society on HCI and Usability for e-Inclusion
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UbiComp '07 Proceedings of the 9th international conference on Ubiquitous computing
Daily activities diarist: supporting aging in place with semantically enriched narratives
INTERACT'07 Proceedings of the 11th IFIP TC 13 international conference on Human-computer interaction - Volume Part II
A novel middleware solution to improve ubiquitous healthcare systems aided by affective information
IEEE Transactions on Information Technology in Biomedicine - Special section on affective and pervasive computing for healthcare
Ambient intelligence: A survey
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A computational model of habit learning to enable ambient support for lifestyle change
IEA/AIE'11 Proceedings of the 24th international conference on Industrial engineering and other applications of applied intelligent systems conference on Modern approaches in applied intelligence - Volume Part II
A multi-dimensional model for task representation and allocation in intelligent environments
EUC'05 Proceedings of the 2005 international conference on Embedded and Ubiquitous Computing
Passive radio frequency exteroception in robot assisted shopping for the blind
UIC'06 Proceedings of the Third international conference on Ubiquitous Intelligence and Computing
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Autonomous Agents and Multi-Agent Systems
State-of-the-art of intention recognition and its use in decision making
AI Communications
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The Independent LifeStyle Assistant™ (I.L.S.A.) is an agent-based monitoring and support system to help elderly people to live longer in their homes by reducing caregiver burden. I.L.S.A. is a multiagent system that incorporates a unified sensing model, situation assessments, response planning, real-time responses and machine learning. This paper describes the some of the lessons we learned during the development and six-month field study.